| |JANUARY - FEBRUARY, 202419so AI has to become part of the clinician workflow, "Day-in-the-life-of", instead of being a stand-alone solution.(f) Last but not the least, the investment required is always a barrier which needs to be taken into consideration. But with time, AI solutions will become more affordable so that the investment required, will justify with the benefits it will bring. In your opinion, what are the key benefits that AI can bring to healthcare, and how can it improve patient care and outcomes?AI can be adopted in healthcare in almost every aspect, starting with mundane and routine administrative tasks all the way to complicated Surgeries. So RPA (Robotic Process Automation) tools can be used to help with some common administrative tasks, while Robot assisted surgeries allows you very precise and fine control, enabling the surgeon to perform complex surgeries, which were always thought to be very risky. AI can also be used for Precision Medicine, where starting with the early detection of Diagnosis, to treatment planning options and then all the way to Prognosis, it can be a great assistant to clinician. Use of AI in clinical research is already bearing fruit, and the use of AR / VR (Augmented and Virtual Reality) for Training and Education is already proven. With the advancement of Image and Speech recognition, AI has become a great tool in the hands of Physician to make their job easier and efficient. In your view, how can we implement AI tools to enhance early disease detection, and how can we measure their effectiveness?AI tools to enhance early disease detection should be very well thought of exercise and one should not jump into making any quick decision. The reason for this is that most of the AI tools have been trained using patient data which does not represent Indian population (and it has been proven that South Asian are more prone for having Cardio related issues compared to their counterparts in the West). So it's extremely important that we understand the Cohorts used and ensure that there is no bias in the AI tool, before implementing the same. On the same hand, there are some proven AI tools, esp. when it relates to the Image recognition which can be a good asset to rely on, in the area of Radiology and Pathology for early disease detection. How can we engage and educate healthcare professionals and staff about AI technologies and their role in improving patient care? What strategies would be used to foster a culture of AI adoption within the organisation?This is a very important point which gets easily ignored, and we need to have good strategy for engaging and educating healthcare professionals and staff, since this will reap continuing benefits. In order to foster the right understanding of AI technologies, we need to expose our healthcare professionals at early stages of their education, which will allow them to develop better appreciation of both the positive and not-so-positive perspective of AI application. And then when they grow into their career as a healthcare professional, will be able to take better decision ­ AI is here to stay so we have think for a long-term perspective.For any organization to foster a culture of AI adoption, the best strategy is to identify cross-functional team members, which will have Clinicians, IT as well as Administrative department represented. Clinicians will be able to identify the problem area or issues which they need help from AI and IT will have good understanding of which type ofAI tool can possibly help, while administrators can provide inputs relating to the implementation and proposed workflow. How can we see the current and future role of AI in healthcare, and what strategies would be implemented to leverage AI for the organization's benefit?Currently AI can easily be adopted for automation of administrative tasks and RPA (Robotic Process Automation) is proven tool, so should start with such low-hanging fruits. With such implementation the organization will start reaping immediate benefits and also provides them better understanding of AI in healthcare, both its potential as well as limitations. And in order to best leverage the potential, should have a very well thought out adoption of digital workflow, so that AI has all the required data for the patient being captured digitally.
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